Subject

Data Science & Modeling

Simulation, optimization, forecasting, network analysis, and computational modeling.

19 published articles6 specialties

Latest in Data & Models

Data Science & ModelingScientific ComputingPreprint

Computer model handles changing-stiffness plates, but distorted meshes trip some versions

A five-case computational study tested a high-order virtual element framework for variable-stiffness plates with complex shapes. VC-VEM variants and standard self-stabilized VEM maintained good accuracy when fiber orientation varied, while standard stabilized VEM lost accuracy as approximation order increased and produced incorrect buckling loads or mode shapes in some distorted-mesh cases.

Scientific publication5 min read

Data Science & ModelingOptimizationPreprint

Preprint links linear control tests to nonlinear motion

The paper follows controllability from the Kalman-family rank condition to bracket generation on finite-dimensional Lie groups. Examples in SO(3), SO(4) and SO(7) illustrate how local directions propagate, while the paper marks infinite-dimensional vector-field algebras as the point where the analogy breaks down.

Scientific publication4 min read

Data Science & ModelingNetwork SciencePreprint

Preprint: AI system records higher predicted social-media influence, but real-world sharing is untested

An arXiv preprint reports that DOCG-AS produced larger gains in a model’s predicted diffusion score than Designed2Spread on Movie- and SpaceX-focused Twitter/X data. A small Movie-focused preference study also favored the generated versions, but the work did not measure actual reposting or establish causal effects in human audiences.

Scientific publication3 min read

Data Science & ModelingOptimizationPreprint

Preprint reports faster flow-optimization method with nearly unchanged results

A new arXiv preprint reports that an adaptive time-window method produced closely matching optimization results while reducing reported runtime and storage in the tested computational flow cases. The study also recovered cylinder-like wake structures and reduced pressure-drop objectives in U-bend cases, but did not test physical prototypes or three-dimensional turbulent flows.

Scientific publication4 min read

Data Science & ModelingScientific ComputingPreprint

Preprint reports thick origami structures that fold and carry static loads

A new arXiv preprint describes a fabrication and optimization framework for thick, non-manifold origami metamaterials. The work combines hinged modules, mechanical fasteners and graph-based topology optimization, then tests the designs in small and large physical prototypes. The demonstrations show feasibility, but they do not establish maximum capacity, durability or superiority over other ways.

Scientific publication5 min read